Through its outreach activities programme, GLCN promotes the distribution
of free software (such as LCCS, GeoVis/MAP, MadCat, ADG etc..), manuals
and tutorials in support of land cover mapping programmes around
the world.
Following is the list of components of the "GLCN tools set".

LCCS 2 software
LCCS software has been developed based on the experience gained from
numerous United Nations, international and country mapping activities,
including the Africover, the Global Terrestrial Observing System (GTOS),
and other initiatives.
[Details..]

GeoVisGeoVIS, which features an extensive number of functionalist specifically
designed to perform visual interpretation of remotely sensed images efficiently.
The systems is based on topological vector engine and provides simple image
processing tools functional to the interpretation.
[Details..]

Mapping Accuracy Program (MAP)MAP is a statistical program that allows the automatic calculation
of thematic mapping accuracy using different methods and different
expected level of statistical confidence. The accuracy assessment
methods used are both qualitative and quantitative.
[Details..]

Advanced Database Gateway (ADG)ADG is a cross-cutting interrogation software which allows the easy and fast recombination
of the land cover polygons, not only by class name but also by classifiers.
It allows end-users to create their own classes using the set of existing
classifiers by selectively recombining the database polygons.
[Details..]

VEDAS
The Vegetation Dynamics Software is a specialized
application to calculate the mean NDVI of polygons allowing land cover
databases to be enriched with vegetation phenology data.

Dynamic AtlasDynamic Atlas is a suite of information publishing and access
tools developed by FAO and SKE, Inc. These technologies enable the
publishing of maps, databases, and documents by using GIS desktop systems and
Web-based interfaces. It is very easy to grow and maintain even in partnership
with other organizations.
[Details..]

LCCS3 Basic Coder
QGis Plugin (developed in PYTHON) aiming at facilitating the use of LCCS3
legends, built upon LCML (Land Cover Meta Language), to code geographical
features. It has a user friendly interface for fast coding.

For questions or comments, contact us - last update:
August 21, 2015 11:15 AM